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This paper introduces SVEET, a framework for high-quality streaming video editing that leverages a pretrained video diffusion model to enable auto-regressive editing with real-time performance on a single GPU.
The paper introduces Zing-0.5, a 5B parameter autoregressive world model for generating playable worlds with real-time user interaction through combined keyboard and text controls. It achieves high performance in navigation tasks and demonstrates low-cost real-time inference at 24 FPS.